Use Cases for Abnormal Behaviour Detection in Smart Homes

  • An C. Tran
  • Stephen Marsland
  • Jens Dietrich
  • Hans W. Guesgen
  • Paul Lyons
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6159)


While people have many ideas about how a smart home should react to particular behaviours from their inhabitant, there seems to have been relatively little attempt to organise this systematically. In this paper, we attempt to rectify this in consideration of context awareness and novelty detection for a smart home that monitors its inhabitant for illness and unexpected behaviour. We do this through the concept of the Use Case, which is used in software engineering to specify the behaviour of a system. We describe a set of scenarios and the possible outputs that the smart home could give and introduce the SHMUC Repository of Smart Home Use Cases. Based on this, we can consider how probabilistic and logic-based reasoning systems would produce different capabilities.


Abnormal behaviour detection context awareness use case smart home 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Giroux, S., Pigot, H.: From Smart Homes to Smart Care: ICOST 2005 (Assistive Technology & Research). IOS Press, USA (2005)Google Scholar
  2. 2.
    Carlos, A., Paul, M.: Ambient Intelligence: Concepts and applications. Computer Science and Information Systems 4(1), 1–27 (2007)CrossRefGoogle Scholar
  3. 3.
    Chua, S., Marsland, S., Guesgen, H.: Spatio-temporal and context reasoning in smart homes. In: Proceeding of COSIT Workshop on Spatial and Temporal Reasoning for Ambient Intelligence System, pp. 9–20 (2009)Google Scholar
  4. 4.
    Jacobson, I.: Object-Oriented Software Engineering, A Use Case Driven Approach. Addison-Wesley, Reading (1992)MATHGoogle Scholar
  5. 5.
    Intel: Intel vPro technology Microsoft Windows 7 Microsoft SCCM better together use cases, (last visited: 22/10/2009)
  6. 6.
    The Business Rules Group: Defining business rules - what are they really?, (last visited: 22/10/2009)
  7. 7.
    Hara, K., Omori, T., Ueno, R.: Detection of unusual human behavior in intelligent house. In: Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, vol. 4 (2002)Google Scholar
  8. 8.
    Augusto, J., Nugent, C.: The use of temporal reasoning and management of complex events in smart homes. In: Proceedings of the 16th European Conference on AI, pp. 778–782 (2004)Google Scholar
  9. 9.
    Chen, L., Nugent, C., Mulvenna, M., Finlay, D., Hong, X., Poland, M.: Using event calculus for behaviour reasoning and assistance in a smart home. In: Helal, S., Mitra, S., Wong, J., Chang, C.K., Mokhtari, M. (eds.) ICOST 2008. LNCS, vol. 5120, pp. 81–89. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  10. 10.
    Rivera-Illingworth, F., Callaghan, V., Hagras, H.: Detection of normal and novel behaviours in ubiquitous domestic environments. The Computer Journal (2007)Google Scholar
  11. 11.
    Dewey, R.A.: Psychology: An introduction, (last visited: 22/10/2009)
  12. 12.
    Kardas, E.P.: What is abnormal behavior? (last visited: 22/10/2009)
  13. 13.
    Meyer, S., Rakotonirainy, A.: A survey of research on context-aware homes. In: Proceeding of the Australasian Information Security Workshop Conference on ACSW Frontiers 2003, pp. 159–168 (2003)Google Scholar
  14. 14.
    University, W.S.: Smart home datasets, (last visited: 22/10/2009)
  15. 15.
    Lavrac, N., Dzeroski, S.: Inductive Logic Programming: Techniques and Applications. Ellis Horwood, New York (1994)MATHGoogle Scholar
  16. 16.
    Jakkula, V., Cook, D.: Anomaly detection using temporal data mining in a smart home environment. Methods of Information in Medicine (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • An C. Tran
    • 1
  • Stephen Marsland
    • 1
  • Jens Dietrich
    • 1
  • Hans W. Guesgen
    • 1
  • Paul Lyons
    • 1
  1. 1.School of Engineering and Advanced TechnologyMassey UniversityNew Zealand

Personalised recommendations